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Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of machine ... Read More

Suppose we have two arrays, one is nums and another one is primes. We have to check whether it is possible to make all the elements of nums equal by multiplying one or more prime numbers from primes array.So, if the input is like nums = [25, 100] primes = [2, 5], then the output will be True as we can multiply 25 with 2 twice to get 100 then all elements are same.To solve this, we will follow these steps −lcm_arr := LCM of all elements in numsfor i in range 0 to size of nums - 1, doval ... Read More

Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web−based dashboards.Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations.Bokeh can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on.It helps in communicating the quantitative insights to the audience effectively.Bokeh converts the data source ... Read More

Time series, as the name suggests, is data that contains certain time periods or time stamps. It contains observations over certain time period. This kind of data tells us about how variables change over time based on various factors. Time series analysing and forecasting can be used to predict data with respect to some future time.Univariate time series contains values taken with respect to a single variable at certain time instances over a period of time. A multivariate time series contains values taken with respect to multiple variables at same periodic instances of time.Time series consists of 4 components that ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly. This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’.The framework supports working with a deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or a list.We are using Google Colaboratory to run the below code. Google ... Read More

Matplotlib is a popular Python package that is used for data visualization. Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on. It is written in Python. It is created using Numpy, ... Read More

Matplotlib is a popular Python package that is used for data visualization. Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More

Matplotlib library is built upon Numpy. It is a Python library that is used to visualize data. It is a tree−like hierarchical structure which consists of objects that makeup each of these plots.A ’Figure’ in Matplotlib can be understood as the outermost storage for a graph. This ‘Figure’ can contains multiple ‘Axes’ objects. ‘Axes’ object is NOT the plural form of ‘Axis’ in this case.‘Axes’ can be understood as a part of ‘Figure’, a subplot. It can be used to manipulate every part of the graph inside it. A ‘Figure’ object in an Matplotlib is a box that stores one ... Read More

Scikit−learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is an open-source library hence it can be used free of cost. It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python. The library is built on Numpy, SciPy and Matplotlib libraries.It can be installed using the ‘pip’ command as shown below −pip install scikit−learnThis library focuses on data modelling. ... Read More